Abstract
Optimization methods have evolved over the years to solve many water resources engineering problems of varying complexity. Today researchers are working on soft computing based Meta heuristics for optimization as these are able to overcome several limitations of conventional optimization methods. Particle Swarm is one such swarm intelligence based optimization algorithm which has shown a great potential to solve practical water resources management problems. This paper examines the basic concepts of Particle Swarm Optimization (PSO) and its successful application in the different areas of water resources optimization.
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Cyriac, R., Rastogi, A.K. (2013). An Overview of the Applications of Particle Swarm in Water Resources Optimization. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_4
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DOI: https://doi.org/10.1007/978-81-322-1041-2_4
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